Description

Creates a standard backpropagation neural network, which is not fully connected and which also has shortcut connections.

Shortcut connections are connections that skip layers. A fully connected network with shortcut connections, is a network
where all neurons are connected to all neurons in later layers. Including direct connections from the input layer to the output layer.

Parameters

num_layers

The total number of layers including the input and the output layer.

num_neurons1

Number of neurons in the first layer.

num_neurons2

Number of neurons in the second layer.

...

Number of neurons in other layers.

Return Values

Returns a neural network resource on success, or FALSE on error.

See Also

fann_create_shortcut_array() - Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections

fann_create_sparse() - Creates a standard backpropagation neural network, which is not fully connected